我有一个sqlite数据库中的数据,该数据库包含一个非第一标准格式的实体。“sample_attribute”列中的字符串如下所示:
isolate: R4166 || age: 43.88 || biomaterial_provider: LIBD || sex: male || tissue: DLPFC || disease: control || race: AA || RIN: 8.7 || Fraction: total || BioSampleModel: Human
此时我的代码:
library(tidyr)
library(dplyr)
library(stringi)
rs.df <- structure(list(run_accession = c("SRR1554537", "SRR2071348"),
platform_parameters = c("INSTRUMENT_MODEL: Illumina HiSeq 2000",
"INSTRUMENT_MODEL: Illumina HiSeq 2000"), sample_attribute = c("isolate: R3452 || age: -0.3836 || biomaterial_provider: LIBD || sex: female || tissue: DLPFC || disease: control || race: AA || RIN: 9.6 || Fraction: total || BioSampleModel: Human", "isolate: R3452 || age: -0.3836 || biomaterial_provider: LIBD || sex: female || tissue: DLPFC || disease: control || race: AA || RIN: 9.6 || Fraction: total || BioSampleModel: Human")), .Names = c("run_accession", "platform_parameters", "sample_attribute"
), row.names = c(NA, -2L), class = "data.frame")
coln <- c("isolate", "age", "biomaterial_provider", "sex", "tissue", "disease", "race",
"RIN", "Fraction", "BioSampleModel")
rs.df <- rs.df %>%
separate(sample_attribute, coln, sep = "\\|\\|")
head(rs.df, 1)
中间结果:
sample_attribute
run_accession platform_parameters isolate age
1 SRR1554534 INSTRUMENT_MODEL: Illumina HiSeq 2000 isolate: DLPFC age: 40.42
biomaterial_provider sex tissue disease
1 biomaterial_provider: LIBD sex: male tissue: DLPFC disease: Control
race RIN Fraction BioSampleModel
1 race: AA RIN: 8.4 Fraction: total BioSampleModel: Human
目前我继续
for (x in coln){
rs.df[,x] <- stri_replace(rs.df[,x], regex = "^.+:\\s*", replacement = "")
}
但这是不灵活的。
是否有扩展dplyr管道的方法,使for循环(尽可能)被%>%中的调用替换管道
至少,对于
coln
,删除字符串,直到
separate()
呼叫:
rs.df <- rs.df %>%
separate(sample_attribute, coln, sep = "\\|\\|") %>%
mutate_each(... stri_replace...) #split pairs at ":", remove part before ":"
(这里for循环解决了我分离/清理字符串的问题。但是,SRAdb数据库中可能有更多这样的列,它们的键:值对由“||”分隔。如何以更灵活的方式处理它们?)